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Multiplexed Complementary Signal Transmission for a Self-Regulating Artificial Nervous System.

Young Jin Choi1, Dong Gue Roe2, Yoon Young Choi3

  • 1Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 03722, Republic of Korea.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|November 27, 2022
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Summary

This study introduces an artificial nervous system for efficient signal transmission using complementary signals. It demonstrates a self-regulating blood glucose control system, showcasing potential in advanced control engineering.

Keywords:
Schottky barrier transistorartificial nervous systemhealthcaremulti-level regulationsignal multiplexing

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Area of Science:

  • Neuromorphic Engineering
  • Biomedical Engineering
  • Control Systems

Background:

  • Neuromorphic engineering mimics biological nervous systems for efficient signal processing.
  • Artificial nervous systems offer potential for advanced self-regulation and control applications.

Purpose of the Study:

  • To present an artificial nervous system capable of self-regulation using multiplexed complementary signals.
  • To demonstrate the integration of complementary signals for efficient data transmission.
  • To construct a proof-of-concept feedback-based blood glucose level control system.

Main Methods:

  • Utilized the tunable Schottky barrier of a complementary signal integration circuit.
  • Integrated a pair of complementary signals for signal transmission.
  • Developed a feedback system with glucose/insulin sensors, complementary signal integration, artificial synapse, and artificial neuron circuits.

Main Results:

  • Successfully integrated complementary signals for efficient transmission.
  • Demonstrated a feedback-based blood glucose control system.
  • Showcased self-regulation by adjusting glucose/insulin levels based on sensor feedback.

Conclusions:

  • The proposed artificial nervous system exhibits facile self-regulation via multiplexed complementary signals.
  • The system effectively controls blood glucose levels within a desirable range.
  • Highlights the potential of complementary control engineering for practical advancements.